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Seoul → Songpa-gu (송파구) → 거여동 → 송파위례리슈빌
BUILDING TRANSACTION DATA

송파위례리슈빌

Songpa-gu (송파구) · 거여동 · Apartment (아파트)

Recent contracts15Last 6 completed months
New monthly-rent contracts3
Typical size111.5㎡
Median jeonse deposit₩1,100,000,000≈ $803,000

Monthly rent by deposit

Monthly rent is compared within the same deposit range. New contracts are preferred when enough are identified.

Deposit range · ₩400,000,000+Under 5 contractsPrices are hidden until at least 5 contracts are observed.

By floor area

Different size groups, such as roughly 60㎡ and 85㎡, are kept separate instead of being blended into one building-wide rent figure.

Around 105.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 110.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.

New vs renewal

New contracts8
Renewals6
Not specified1

Raw monthly-rent trend

This raw trend can mix different deposit structures. Use the deposit-band sections above for a specific rent comparison.

Not enough monthly observations to show a trend.

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
New105.5㎡₩450,000,000≈ $328,500₩2,300,000≈ $1,679Jul 25, 2026
Renewal116.6㎡₩290,000,000≈ $211,700₩3,200,000≈ $2,336Jul 18, 2026
New105.5㎡₩1,100,000,000≈ $803,000Jeonse-style · ₩0Jul 8, 2026
Renewal111.5㎡₩945,000,000≈ $689,850Jeonse-style · ₩0Jun 19, 2026
New105.5㎡₩1,100,000,000≈ $803,000Jeonse-style · ₩0Jun 13, 2026
Renewal111.5㎡₩910,000,000≈ $664,300Jeonse-style · ₩0Jun 7, 2026
New111.5㎡₩500,000,000≈ $365,000₩1,650,000≈ $1,205Apr 25, 2026
Renewal105.5㎡₩1,100,000,000≈ $803,000Jeonse-style · ₩0Mar 29, 2026
New111.5㎡₩400,000,000≈ $292,000₩3,000,000≈ $2,190Mar 28, 2026
New111.5㎡₩840,000,000≈ $613,200Jeonse-style · ₩0Mar 18, 2026

Use this as market context. Individual units can differ by floor, orientation, condition and contract terms. Rental and sale transactions are displayed as separate official reported datasets.